Cloud computing have progressed rapidly in recent years since it can provide
real-time, on-demand, self-provisioned services to business users on an as-needed
basis, including IaaS (Infrastructure as a Service), PaaS (Platform as a
Service) and SaaS (Software as a Service). On the back end, cloud computing
requires highly efficient and transparent multiplexing of complex networking,
storage, and computing resources that optimally are configured to provide
performance guarantees. Therefore, clouds should be able to automatically
balance workloads during peak periods and non-peak periods based on performance-energy-cost
tradeoffing.

Moreover, in virtualized clouds, it is difficult to accurately model virtualized
systems in order to analyze performance issues. The cloud paradigm comes
up with complexities and multifaceted problems associated with correctly measuring,
modeling and analyzing the performance aspects of clouds. These new performance
related challenges may comprise, sometimes even deteriorate the efficiency,
logical or physical transparency of cloud services, quality of isolation,
fairness among virtualized systems, quality of synthetic services, scalability
of the composition of virtualized services and of the management mechanisms
for cloud centers and their operation patterns.

Considering these performance issues, traditional modeling methods that
were developed for physical machine based systems do not seamlessly work
in clouds. Alternatively, clouds require new modeling methodologies, analytics,
simulation techniques, and updated benchmarks.

The goal of the proposed Journal of Information Science and Engineering(JISE)
special issue is to provide a forum to address the performance modeling and
analytics of clouds including theory and practice in industry and academia.
This special issue cordially welcomes innovative, state-of-the-art and/or
work-in-progress research on modeling and analytics of clouds, including
algorithms, performance measurement, analytic modeling, simulation, performance
engineering, benchmark design, and run-time performance management techniques.
Relevant research topics for this proposed special issue include, but are
not limited to, the following ones:

Topics

User models and workload characterization in Clouds

Performance metrics for adaptation and dynamics in Clouds

Resource provisioning, modeling and scheduling in Clouds

I/O and network performance modeling

Performance isolation and fairness among multiple virtual systems

Scalability, robustness and resilience of Clouds

Quality of Service in Clouds

Engineering techniques for cloud services deployment and combination

Power/energy efficiency

Security Issues and its performance evaluation

Performance verification and validation

Experiences, performance and reliability of running scientific applications
in clouds

Performance simulation techniques and benchmarks in Clouds

Submission Guidelines

Besides normal submissions, the revised version of the best papers selected
from the IEEE Workshop on Performance Aspects of Cloud and Service Virtualization
(IEEE CloudPerf 2012) In Conjunction With IEEE SERVICES/ICWS/SCC/CLOUD2012
will be invited to be submitted to this special issue. The revised version
must have at least 40% difference from the conference paper. Electronic
paper submissions are sent to ﻿Lchen@mail.ntust.edu.tw.
A template of submitted paper can be found at http://www.iis.sinica.edu.tw/page/jise/FILE/standard-new.doc.

Important Dates

Submission Deadline: July 31, 2012

Acceptance Notification: September 30, 2012

Final Manuscript Due: November 1, 2012

Publication Date: May 2013 (Tentative)

Guest Editors

Prof.Jiann-Liang
Chen
National Taiwan University of Science and Technology